Browsing GI-GAC - Artigos by Author "Pardo, Xoán C."
Now showing items 1-9 of 9
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A cloud-based enhanced differential evolution algorithm for parameter estimation problems in computational systems biology
Teijeiro, Diego; Pardo, Xoán C.; Penas, David R.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Springer New York LLC, 2017)[Abstract] Metaheuristics are gaining increasing recognition in many research areas, computational systems biology among them. Recent advances in metaheuristics can be helpful in locating the vicinity of the global solution ... -
An Efficient Ant Colony Optimization Framework for HPC Environments
González, Patricia; Osorio, Roberto; Pardo, Xoán C.; Banga, Julio R.; Doallo, Ramón (Elsevier, 2022)[Abstract] Combinatorial optimization problems arise in many disciplines, both in the basic sciences and in applied fields such as engineering and economics. One of the most popular combinatorial optimization methods is ... -
Hybrid parallel multimethod hyperheuristic for mixed-integer dynamic optimization problems in computational systems biology
González, Patricia; Argüeso-Alejandro, Pablo; Penas, David R.; Pardo, Xoán C.; Sáez-Rodríguez, Julio; Banga, Julio R.; Doallo, Ramón (Springer New York LLC, 2019-05-08)[Abstract] This paper describes and assesses a parallel multimethod hyperheuristic for the solution of complex global optimization problems. In a multimethod hyperheuristic, different metaheuristics cooperate to outperform ... -
Implementing cloud-based parallel metaheuristics: an overview
González, Patricia; Pardo, Xoán C.; Doallo, Ramón; Banga, Julio R. (Universidad Nacional de la Plata - Facultad de Informatica, 2018-12-12)[Abstract] Metaheuristics are among the most popular methods for solving hard global optimization problems in many areas of science and engineering. Their parallel im- plementation applying HPC techniques is a common ... -
Implementing Parallel Differential Evolution on Spark
Teijeiro, Diego; Pardo, Xoán C.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Springer, 2016-04-02)[Abstract] Metaheuristics are gaining increased attention as an efficient way of solving hard global optimization problems. Differential Evolution (DE) is one of the most popular algorithms in that class. However, its ... -
Multimethod optimization in the cloud: A case‐study in systems biology modelling
González, Patricia; Penas, David R.; Pardo, Xoán C.; Banga, Julio R.; Doallo, Ramón (Wiley, 2018-06-25)[Abstract] Optimization problems appear in many different applications in science and engineering. A large number of different algorithms have been proposed for solving them; however, there is no unique general optimization ... -
Running scientific codes on amazon EC2: a performance analysis of five high-end instances
Expósito, Roberto R.; López Taboada, Guillermo; Pardo, Xoán C.; Touriño, Juan; Doallo, Ramón (Springer New York LLC, 2013)[Abstract] Amazon Web Services (AWS) is a well-known public Infrastructure-as-a-Service (IaaS) provider whose Elastic Computing Cloud (EC2) o ering includes some instances, known as cluster instances, aimed at High-Performance ... -
Spark Implementation of the Enhanced Scatter Search Metaheuristic: Methodology and Assessment
Pardo, Xoán C.; Argüeso-Alejandro, Pablo; González, Patricia; Banga, Julio R.; Doallo, Ramón (Elsevier BV, 2020-12)[Abstract] Optimization problems arise nowadays in all disciplines, not only in the scientific area but also in the field of engineering or economics, and in many others. Currently, challenging optimization problems require ... -
Towards cloud-based parallel metaheuristics: A case study in computational biology with Differential Evolution and Spark
Teijeiro, Diego; Pardo, Xoán C.; González, Patricia; Banga, Julio R.; Doallo, Ramón (Sage Publications Ltd., 2016-11-28)[Abstract] Many key problems in science and engineering can be formulated and solved using global optimization techniques. In the particular case of computational biology, the development of dynamic (kinetic) models is ...
